Abstract

The cancellation of noise & distortion is the main area of concern in many applications of communications, signal processing and biomedical. The adaptive filters are attractive to work with unpredictable noisy inputs and are capable to work in real-time & non-realtime environments. This work emphasizes on the performance comparison of MATLAB Simulation and DSP Processor implementation of an adaptive filter for Least Mean Squared (LMS) and Normalized Least Mean Squared (NLMS) Algorithms. The input to the filter is a noisy ECG signal and the output of the filter is approximate to clean ECG signal. The designed filter is tested during simulation as well as hardware implementation for three different noisy samples of an ECG signal. And the performance is analyzed on the basis of Signal to Noise Ratio (SNR) improvement.

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